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<table width="100%" summary="page for Whickham2"><tr><td>Whickham2</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Whickham Health Study</h2>

<h3>Description</h3>

<p>Morality data over 20 years for 1314 women from Whickham, England
</p>


<h3>Format</h3>

<p>A data frame with 1314 observations on the following 5 variables.
</p>

<dl>
<dt><code>Outcome</code></dt><dd><p>Status at 20-year follow-up (<code>Alive</code> or <code>Dead</code>)</p>
</dd>
<dt><code>Smoker</code></dt><dd><p>Smoker at baseline? (<code>No</code> or <code>Yes</code>)</p>
</dd>
<dt><code>Age</code></dt><dd><p>Age (in years at baseline)</p>
</dd>
<dt><code>AgeGroup</code></dt><dd><p>Age group (<code>18-64</code> or <code>65+</code>)</p>
</dd>
<dt><code>Alive</code></dt><dd><p>Numeric code for Outcome (<code>1</code>=alive or <code>0</code>=dead)</p>
</dd>
</dl>



<h3>Details</h3>

<p>Twenty-year mortality, smoking status, and age for 1314 women in Whickham, England.  We have named this Whickham2 to distinguish it from Whickham, which is a file in the mosaicData package.
</p>


<h3>Source</h3>

<p>A version of these data are in the mosaicData package but originally are from:
</p>
<p>Appleton, D. R., French, J. M., and Vanderpump, M.P. (1996), &quot;Ignoring a Covariate: An Example of Simpson's Paradox,&quot; The American Statistician, 50, 340-341.
</p>


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